Indao is not just a monitoring tool: it is an advanced analytics platform that transforms industrial data into concrete, actionable recommendations. Where SCADA or ERP systems collect and display data, Indao helps your teams gain clarity, take the right actions and optimise operations sustainably.

Deployment is fast and progressive. On average, 4 to 6 weeks are enough to connect your first data sources, build the models and launch the first dashboards.

The platform is modular: you can start with a targeted pilot on a critical asset, then progressively extend it to other lines, sites or countries.

Indao is designed for the entire manufacturing industry and industrial infrastructure.

The platform adapts to a wide range of sectors, processes and equipment, wherever industrial data is available.

ROI is assessed based on concrete indicators: operational performance, asset availability, energy consumption and product quality.

Indao structures the business case from the outset and enables tracking of actual gains over time.

Indao helps identify measurable operational indicators, quantify expected gains and track their evolution over time.

Indao does not simply visualise or store data: it enables the analysis of industrial behaviours and supports concrete operational decision-making.

Indao is a software platform vendor that combines its product with methodological support, without positioning itself as a traditional system integrator or a consulting firm.

Indao is designed for manufacturing and process industries, particularly where industrial data can be leveraged, analysed and utilised to improve operational performance.

No. Indao does not replace your existing tools: it connects to them, complements them and enhances the value of the data already available.

Indao uses targeted industrial AI, designed to analyse process data and support operational decision-making.

Unlike mainstream generative AI, this approach is less energy-intensive, more explainable and directly focused on industrial impact.

Indao enables the detection of deviations, improves operational performance and reduces resource consumption, leveraging existing industrial data.

Indao primarily focuses on detecting deviations, optimising performance and reducing resource usage.

Yes. Indao is well suited to multi-site environments, enabling the deployment of shared use cases, performance comparison and the scaling of best practices across sites.

Yes. Indao is relevant even with limited digitalisation, leveraging existing data and supporting the site’s progression in digital maturity.

Tangible results include earlier detection of deviations, improved operational performance and reduced resource consumption.

The first benefits can be observed within a few weeks by targeting a priority use case and quickly measuring operational gains.

A first use case can be deployed within a few weeks.

Indao is designed for a progressive, targeted rollout without disrupting operations, with first measurable results delivered quickly.

An Indao project consists of defining a priority use case, connecting existing data, deploying the solution on a targeted scope and measuring tangible gains with operational teams.

No. Indao is designed to minimise the need for internal resources by leveraging existing data and providing structured support.

Yes. Indao allows you to start with a targeted scope, then progressively expand use cases, equipment and sites.

Indao connects by interfacing with existing industrial systems (SCADA, historians, MES, ERP), enabling data to be leveraged without modifying the current architecture.

Yes. Indao is designed to connect to your existing environment, leverage available data and integrate without disrupting your current systems.

Data is hosted according to client requirements, either in a secure cloud or on-premises, on servers located in Europe, with full control over access and usage.

The client retains ownership of their data and models, while Indao ensures their confidentiality, security and use in accordance with the agreed framework.

Yes. Indao can run on-premises when required by security or IT constraints, while maintaining the same analytical and deployment capabilities.

Indao manages cybersecurity by relying on recognised industrial standards, securing access and data flows, and adapting to the client’s IT and OT requirements.

User access is managed through customised roles and permissions, ensuring data security and aligning usage with business roles.

Yes. Indao is built on recognised industrial standards, meets IT/OT requirements (security, access, traceability) and integrates with existing industrial architectures.

Indao is built on a standard platform that can be adapted to specific industrial contexts and configured according to use cases and business objectives.

The Indao platform evolves by adding new use cases, improving existing models and adapting to changes in industrial processes and data.

Yes. Indao enables the development of new use cases, builds on existing ones and progressively extends value to other processes or equipment.

Yes. Indao is well suited for group-wide deployment, enabling the standardisation of use cases, site-by-site rollout and the scaling of feedback across the organisation.

Updates are handled by Indao, planned with the client and deployed in a controlled manner to ensure continuity of operations and use cases.

Indao relies on existing data: the more complete and higher quality the data, the greater the value generated. Some highly specific analyses may require prior methodological framing.

Indao focuses on prioritising high-impact use cases, transforming data into actionable decisions and supporting teams through to measurable results.

Indao involves operational teams by engaging them in defining use cases, leveraging their domain expertise and grounding analyses in real operational conditions.

Indao projects are delivered by multidisciplinary teams composed of project engineers trained in industrial processes, advanced analytics and operational support.

Yes. Indao provides training to upskill teams, facilitate platform adoption and offer continuous access to e-learning resources.

Indao ensures long-term adoption by involving teams from the outset, supporting day-to-day usage and evolving use cases in line with operational needs.

After go-live, Indao enables the tracking of results, adjustment of models and the progressive extension of use cases.

Indao helps identify measurable operational indicators, quantify expected gains and track their evolution over time.

Yes. Indao can start with a PoC or a targeted pilot to validate value, secure ROI and prepare for larger-scale deployment.

The Indao pricing model is based on modular licences (Foundation, Explore, Companion or industry-specific packs), complemented by service hour packages for support, deployment and the evolution of use cases.

Yes. Indao is well suited to industrial SMEs thanks to a progressive approach, targeted scopes and a deployment aligned with their operational challenges.

Key success factors include defining a relevant use case, involving operational teams and tracking clear indicators from the outset.

To get started, Indao proposes defining a priority use case, assessing available data, deploying an initial analysis and quickly measuring the results achieved.